Jennifer M. Speth

85 total papers · 1.4k total citations
37 papers, 869 citations indexed

About

Jennifer M. Speth is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Immunology. According to data from OpenAlex, Jennifer M. Speth has authored 37 papers receiving a total of 869 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 12 papers in Pulmonary and Respiratory Medicine and 11 papers in Immunology. Recurrent topics in Jennifer M. Speth's work include Extracellular vesicles in disease (9 papers), MicroRNA in disease regulation (6 papers) and Hematopoietic Stem Cell Transplantation (4 papers). Jennifer M. Speth is often cited by papers focused on Extracellular vesicles in disease (9 papers), MicroRNA in disease regulation (6 papers) and Hematopoietic Stem Cell Transplantation (4 papers). Jennifer M. Speth collaborates with scholars based in United States, Japan and Canada. Jennifer M. Speth's co-authors include Marc Peters‐Golden, Loka R. Penke, Jonathan Hoggatt, Louis M. Pelus, Joel A. Swanson, Peter Mancuso, Pratibha Singh, Emilie Bourdonnay, Zbigniew Zasłona and Jeffrey L. Curtis and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Medicine.

In The Last Decade

Jennifer M. Speth

31 papers receiving 864 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jennifer M. Speth 413 259 220 173 154 37 869
Rebekah K. O’Donnell 477 1.2× 238 0.9× 232 1.1× 204 1.2× 180 1.2× 22 1.0k
Ayako Ueki 423 1.0× 206 0.8× 224 1.0× 176 1.0× 130 0.8× 51 924
Haruko Sakaguchi 439 1.1× 262 1.0× 232 1.1× 232 1.3× 194 1.3× 48 1.0k
Haimeng Yan 530 1.3× 306 1.2× 108 0.5× 181 1.0× 110 0.7× 25 925
Galit Shahaf 304 0.7× 157 0.6× 75 0.3× 136 0.8× 94 0.6× 23 800
Ying Lu 275 0.7× 303 1.2× 74 0.3× 124 0.7× 117 0.8× 59 1.0k
Blandine Dizier 459 1.1× 190 0.7× 132 0.6× 172 1.0× 58 0.4× 30 900
Hisako Inoue 230 0.6× 278 1.1× 97 0.4× 205 1.2× 192 1.2× 42 833
Fu‐Sheng Chou 517 1.3× 116 0.4× 130 0.6× 134 0.8× 294 1.9× 59 936
Satoshi Yamaji 531 1.3× 160 0.6× 56 0.3× 142 0.8× 94 0.6× 41 1.1k

Countries citing papers authored by Jennifer M. Speth

Since Specialization
Citations

This map shows the geographic impact of Jennifer M. Speth's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jennifer M. Speth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer M. Speth more than expected).

Fields of papers citing papers by Jennifer M. Speth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer M. Speth. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jennifer M. Speth. The network helps show where Jennifer M. Speth may publish in the future.

Co-authorship network of co-authors of Jennifer M. Speth

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer M. Speth. A scholar is included among the top collaborators of Jennifer M. Speth based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jennifer M. Speth. Jennifer M. Speth is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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